Dr. Wenda Tan
Assistant Professor | Mechanical Engineering
Friday, October 7, Noon – 1p.m.
In Person: Room 151, Chrysler Center, 2121 Bonisteel Blvd, Ann Arbor, MI 48109
Virtual: Via Zoom
Mobile device users with the Google Calendar app must copy myumi.ch/xd51z directly into their internet browser’s address bar to add this event to their Google Calendar
Physics-based Modeling toward Integrated Computational Materials Engineering for Metal Additive Manufacturing
Miki Banu | ISD Associate Chair for Doctoral Education and Research
Collegiate Research Professor | Mechanical Engineering
Judy Jin | ISD Manufacturing Program Director | Professor of IOE
Metal Additive Manufacturing (AM) technologies can produce complex geometries beyond conventional processes, and also allow the design and processing of new alloys. A grand challenge for the metal AM technologies is to accurately control the alloy composition and microstructure throughout entire builds, which are highly sensitive to the local materials chemistry/physics and processing conditions. To tackle this challenge, a physics-based modeling framework has been developed at the University of Michigan to predict the process-microstructure relationship in metal AM processes. A 3D computational fluid/powder dynamics model is first used to simulate the complex multi-physics (e.g., laser-matter interaction, multi-phase fluid flow, and fluid-particle interaction) in the processes.
The model has predicted several critical events for defect formation (e.g., keyhole collapse and powder spattering) as well as the thermal conditions for metal solidification. Then a computational materials model is used to predict the 3D grain growth during metal solidification. The model has quantitatively revealed the effects of nucleation mechanisms and heat source scanning patterns on grain structure development in AM metal builds. The collaboration of these two models will enable Integrated Computational Materials Engineering (ICME) for holistic strategies to design materials and process simultaneously for the metal AM technologies.
Dr. Wenda Tan is an assistant professor of Mechanical Engineering at the University of Michigan. He received his B.S. and M.S. degrees in Mechanical Engineering from Tsinghua University, China, and his Ph.D. degree in Mechanical Engineering from Purdue University. His research works are dedicated to revealing and understanding the process-microstructure-property relationship in various advanced manufacturing processes. His recent research efforts have been primarily focused on computational physics and computational materials modeling for metal additive manufacturing, welding, casting, and powder metallurgy. Dr. Tan is the recipient of the National Science Foundation CAREER award in 2018.